TY - JOUR
T1 - Topological invariance in whiteness optimisation
AU - Haataja, Johannes S.
AU - Jacucci, Gianni
AU - Parton, Thomas G.
AU - Schertel, Lukas
AU - Vignolini, Silvia
N1 - Funding Information:
The authors thank Prof. Rémi Carminati for his helpful suggestions on the manuscript. J.S.H. is grateful for financial support from the Emil Aaltonen Foundation and Academy of Finland grant (no. 347789). L.S. acknowledges the support of the Isaac Newton Trust and the Swiss National Science Foundation under project 40B1-0_198708. T.G.P. acknowledges the EPSRC NanoDTC, project EP/L015978/1 and EP/T517847/1. This work is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 893136 and the ERC SeSaME ERC-2014-STG H2020 639088. The FDTD simulations in this work were performed using resources provided by the Cambridge Service for Data Driven Discovery (CSD3) operated by the University of Cambridge Research Computing Service ( www.csd3.cam.ac.uk ), provided by Dell EMC and Intel using Tier-2 funding from the Engineering and Physical Sciences Research Council (capital grant EP/P020259/1), and DiRAC funding from the Science and Technology Facilities Council ( www.dirac.ac.uk ). The in silico synthesis of the FC1-5 structures were performed using computer resources provided by the Aalto University School of Science “Science-IT” project ( https://scicomp.aalto.fi/ ).
Funding Information:
The authors thank Prof. Rémi Carminati for his helpful suggestions on the manuscript. J.S.H. is grateful for financial support from the Emil Aaltonen Foundation and Academy of Finland grant (no. 347789). L.S. acknowledges the support of the Isaac Newton Trust and the Swiss National Science Foundation under project 40B1-0_198708. T.G.P. acknowledges the EPSRC NanoDTC, project EP/L015978/1 and EP/T517847/1. This work is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 893136 and the ERC SeSaME ERC-2014-STG H2020 639088. The FDTD simulations in this work were performed using resources provided by the Cambridge Service for Data Driven Discovery (CSD3) operated by the University of Cambridge Research Computing Service (www.csd3.cam.ac.uk), provided by Dell EMC and Intel using Tier-2 funding from the Engineering and Physical Sciences Research Council (capital grant EP/P020259/1), and DiRAC funding from the Science and Technology Facilities Council (www.dirac.ac.uk). The in silico synthesis of the FC1-5 structures were performed using computer resources provided by the Aalto University School of Science “Science-IT” project (https://scicomp.aalto.fi/).
Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12
Y1 - 2023/12
N2 - Maximizing the scattering of visible light within disordered nano-structured materials is essential for commercial applications such as brighteners, while also testing our fundamental understanding of light-matter interactions. The progress in the research field has been hindered by the lack of understanding how different structural features contribute to the scattering properties. Here we undertake a systematic investigation of light scattering in correlated disordered structures. We demonstrate that the scattering efficiency of disordered systems is mainly determined by topologically invariant features, such as the filling fraction and correlation length, and residual variations are largely accounted by the surface-averaged mean curvature of the systems. Optimal scattering efficiency can thus be obtained from a broad range of disordered structures, especially when structural anisotropy is included as a parameter. These results suggest that any disordered system can be optimised for whiteness and give comparable performance, which has far-reaching consequences for the industrial use of low-index materials for optical scattering.
AB - Maximizing the scattering of visible light within disordered nano-structured materials is essential for commercial applications such as brighteners, while also testing our fundamental understanding of light-matter interactions. The progress in the research field has been hindered by the lack of understanding how different structural features contribute to the scattering properties. Here we undertake a systematic investigation of light scattering in correlated disordered structures. We demonstrate that the scattering efficiency of disordered systems is mainly determined by topologically invariant features, such as the filling fraction and correlation length, and residual variations are largely accounted by the surface-averaged mean curvature of the systems. Optimal scattering efficiency can thus be obtained from a broad range of disordered structures, especially when structural anisotropy is included as a parameter. These results suggest that any disordered system can be optimised for whiteness and give comparable performance, which has far-reaching consequences for the industrial use of low-index materials for optical scattering.
UR - http://www.scopus.com/inward/record.url?scp=85163113971&partnerID=8YFLogxK
U2 - 10.1038/s42005-023-01234-9
DO - 10.1038/s42005-023-01234-9
M3 - Article
AN - SCOPUS:85163113971
SN - 2399-3650
VL - 6
SP - 1
EP - 10
JO - Communications Physics
JF - Communications Physics
IS - 1
M1 - 137
ER -